Introduction to Data Mining and its Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Data Mining and its Applications write by S. Sumathi. This book was released on 2006-10-12. Introduction to Data Mining and its Applications available in PDF, EPUB and Kindle. This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.
Practical Applications of Data Mining
Practical Applications of Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Applications of Data Mining write by Sang Suh. This book was released on 2012. Practical Applications of Data Mining available in PDF, EPUB and Kindle. Introduction to data mining -- Association rules -- Classification learning -- Statistics for data mining -- Rough sets and bayes theories -- Neural networks -- Clustering -- Fuzzy information retrieval.
Introduction to Data Mining and Analytics
Introduction to Data Mining and Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Data Mining and Analytics write by Kris Jamsa. This book was released on 2020-02-03. Introduction to Data Mining and Analytics available in PDF, EPUB and Kindle. Data Mining and Analytics provides a broad and interactive overview of a rapidly growing field. The exponentially increasing rate at which data is generated creates a corresponding need for professionals who can effectively handle its storage, analysis, and translation.
Introduction to Data Mining
Introduction to Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Data Mining write by Pang-Ning Tan. This book was released on 2016. Introduction to Data Mining available in PDF, EPUB and Kindle. Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. Each major topic is organized into two chapters, beginni
Introduction to Data Mining and Its Applications
Introduction to Data Mining and Its Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Data Mining and Its Applications write by S. Sumathi. This book was released on 2006-09-26. Introduction to Data Mining and Its Applications available in PDF, EPUB and Kindle. This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.
